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On mathematical models of adaptive systems

 

作者: HIROTOMO ASO,   MASAYUKI KIMURA,  

 

期刊: International Journal of Systems Science  (Taylor Available online 1974)
卷期: Volume 5, issue 11  

页码: 1029-1038

 

ISSN:0020-7721

 

年代: 1974

 

DOI:10.1080/00207727408920159

 

出版商: Taylor & Francis Group

 

数据来源: Taylor

 

摘要:

The aim of this paper is to present a mathematical model for a system to control an object favourably which is unknown for the system—an adaptive system. We make the concept of adaptiveness precise first and consider systems as stochastic sequential machines (SSM's) to answer the question : what kind of logical structure is necessary and sufficient for a SSM to be adaptive. Some necessary conditions for a SSM to be adaptive are shown, and for a specified class of SSM's, the necessary and sufficient conditions to be adaptive are given. Furthermore, some examples of adaptive SSM's are shown.

 

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